卷积神经网络课程可以帮助您学习图像分类、Object Detection 和 Feature Extraction 技术。您可以掌握优化神经网络 Architecture、实施数据 Augmentation 策略以及针对特定任务对模型进行微调的技能。许多课程介绍了 TensorFlow 和 Keras 等工具,这些工具支持构建和训练 CNN,以及评估模型性能和部署计算机视觉和 AI 驱动解决方案等领域应用的方法。

Pontificia Universidad Católica de Chile
您将获得的技能: Revenue Management, Customer Analysis, Descriptive Analytics, FinTech, Large Language Modeling, Model Evaluation, Database Design, Social Network Analysis, Spatial Data Analysis, People Analytics, Time Series Analysis and Forecasting, Predictive Analytics, Biostatistics, Social Determinants Of Health, Gerontology, Risk Analysis, Bayesian Statistics, Unsupervised Learning, Cloud Security, Regression Analysis
获得学位
学位 · 1-4 年

Google Cloud
您将获得的技能: Dataflow, Data Pipelines, Google Cloud Platform, Real Time Data, Data Processing, Big Data, Advanced Analytics, Analytics, Scalability, Performance Tuning
中级 · 课程 · 1-3 个月

您将获得的技能: Star Schema, Snowflake Schema, Data Warehousing, Database Design, Data Pipelines, Transact-SQL, Stored Procedure, Extract, Transform, Load, CI/CD, Data Integration, Microsoft Azure, Performance Tuning, Data Transformation, Security Controls, Git (Version Control System), Scalability
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Data Migration, Database Management, Relational Databases, Google Cloud Platform, Database Architecture and Administration, Databases, Data Store, Dataflow, Query Languages, Database Design, Cloud Applications, Scalability, Transaction Processing
中级 · 课程 · 1-3 个月
Universidad de los Andes
您将获得的技能: Social Network Analysis, Network Analysis, Data Storytelling, Data Visualization, Financial Statement Analysis, Data Presentation, Predictive Modeling, Financial Modeling, Marketing Analytics, Product Marketing, Data Preprocessing, Marketing Management, Dashboard, Transfer Learning, Advertising, Random Forest Algorithm, Data Cleansing, Operations Research, Statistical Analysis, Mathematical Modeling
提供的学分
MasterTrack · 6-12 个月
University of Colorado Boulder
您将获得的技能: Model Evaluation, Data Mining, Unsupervised Learning, Supervised Learning, Deep Learning, Service Level, Probability, Statistical Modeling, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Applied Machine Learning, Anomaly Detection, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Exploratory Data Analysis, Dimensionality Reduction, Performance Testing, Bash (Scripting Language), Data Science
提供的学分
研究生证书 · 6-12 个月

Illinois Institute of Technology
您将获得的技能: Database Design, Statistical Analysis, Time Series Analysis and Forecasting, Relational Databases, Database Systems, Data Analysis, Database Management, NoSQL, Database Theory, Databases, Database Development, SQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Database Management Systems, Bayesian Statistics, Statistical Inference, Technical Communication
获得学位
学位 · 1-4 年

DeepLearning.AI
您将获得的技能: 生成对抗网络 (GAN), 图像质量, 无监督学习, 模型评估, 负责任的人工智能, PyTorch(机器学习库), 机器学习, 生成式人工智能, 数据伦理, 生成模型架构
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 迁移学习, 生成式人工智能, 模型部署, 拥抱的脸, 性能调整, 大型语言模型
初级 · 项目 · 不超过 2 小时